{ "cells": [ { "attachments": { "search.png": { "image/png": "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" } }, "cell_type": "markdown", "metadata": {}, "source": [ "## Internet Resource\n", "\n", "![search.png](attachment:search.png)\n", "\n", "The internet is an important resource when it comes to general programming information. Learn to search information from tutorial sites and quickly find the information that you need. Specific websites that can be helpful are StackOverflow, Geeks for Geeks, and many more. Below are some helps for math, comparison, logical, plotting, and turtle methods as examples of the types of resources that you'll find. The hardest part about using the Internet as a resource is how to quickly sort through the information to find the specific answer that you need. Sometimes the hardest part is formulating the correct question.\n", "\n", "## Shortcuts\n", "Press h to see or edit the list of every shortcut in Jupyter Notebook" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Math\n", "\n", "\\+\tAddition: adds two operands\tx + y\n", "\n", "\\-\tSubtraction: subtracts two operands\tx - y\n", "\n", "\\*\tMultiplication: multiplies two operands\tx * y\n", "\n", "/\tDivision (float): divides the first operand by the second\tx / y\n", "\n", "//\tDivision (floor): divides the first operand by the second\tx // y\n", "\n", "%\tModulus: returns the remainder when first operand is divided by the second\tx % y\n", "\n", "## Compare\n", "\n", "\\>\tGreater than: True if left operand is greater than the right\tx > y\n", "\n", "<\tLess than: True if left operand is less than the right\tx < y\n", "\n", "==\tEqual to: True if both operands are equal\tx == y\n", "\n", "!=\tNot equal to - True if operands are not equal\tx != y\n", "\n", "\\>=\tGreater than or equal to: True if left operand is greater than or equal to the right\tx >= y\n", "\n", "<=\tLess than or equal to: True if left operand is less than or equal to the right\tx <= y\n", "\n", "## Logical \n", "\n", "and\tLogical AND: True if both the operands are true\tx and y\n", "\n", "or\tLogical OR: True if either of the operands is true\tx or y\n", "\n", "not\tLogical NOT: True if operand is false\tnot x" ] }, { "attachments": { "plot.png": { "image/png": "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" } }, "cell_type": "markdown", "metadata": {}, "source": [ "## For matplotlib plotting\n", "\n", "![plot.png](attachment:plot.png)\n", "\n", "**Colors**\n", " \n", " ============= ===============================\n", " character color\n", " ============= ===============================\n", " ``'b'`` blue\n", " ``'g'`` green\n", " ``'r'`` red\n", " ``'c'`` cyan\n", " ``'m'`` magenta\n", " ``'y'`` yellow\n", " ``'k'`` black\n", " ``'w'`` white\n", " ============= ===============================\n", " \n", "**Markers**\n", " \n", " ============= ===============================\n", " character description\n", " ============= ===============================\n", " ``'.'`` point marker\n", " ``','`` pixel marker\n", " ``'o'`` circle marker\n", " ``'v'`` triangle_down marker\n", " ``'^'`` triangle_up marker\n", " ``'<'`` triangle_left marker\n", " ``'>'`` triangle_right marker\n", " ``'1'`` tri_down marker\n", " ``'2'`` tri_up marker\n", " ``'3'`` tri_left marker\n", " ``'4'`` tri_right marker\n", " ``'s'`` square marker\n", " ``'p'`` pentagon marker\n", " ``'*'`` star marker\n", " ``'h'`` hexagon1 marker\n", " ``'H'`` hexagon2 marker\n", " ``'+'`` plus marker\n", " ``'x'`` x marker\n", " ``'D'`` diamond marker\n", " ``'d'`` thin_diamond marker\n", " ``'|'`` vline marker\n", " ``'_'`` hline marker\n", " ============= ===============================\n", " \n", "**Line Styles**\n", " \n", " ============= ===============================\n", " character description\n", " ============= ===============================\n", " ``'-'`` solid line style\n", " ``'--'`` dashed line style\n", " ``'-.'`` dash-dot line style\n", " ``':'`` dotted line style\n", " ============= ===============================" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 }